Quarterly Journal of Political Science > Vol 14 > Issue 2

Signaling Policy Intentions in Fundraising Contests

Brenton Kenkel, Vanderbilt University, USA, brenton.kenkel@vanderbilt.edu
 
Suggested Citation
Brenton Kenkel (2019), "Signaling Policy Intentions in Fundraising Contests", Quarterly Journal of Political Science: Vol. 14: No. 2, pp 225-258. http://dx.doi.org/10.1561/100.00018001

Publication Date: 10 Apr 2019
© 2019 B. Kenkel
 
Subjects
Campaign finance,  Elections,  Game theory,  Interest groups
 

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In this article:
Introduction 
Related Literature 
The Model 
Results 
Equalizing Reforms 
Public Financing 
Correlated Types 
Conclusion 
References 

Abstract

I develop a theory of fundraising competition between candidates whose ability to raise money depends on the policy they will enact if elected. Unlike in existing models of money in politics, there is no exchange of policy favors for donations; donors merely have better information than the electorate about candidates' policy intentions. Even in the absence of quid pro quo exchanges between candidates and donors, I find that fundraising competition may skew policy outcomes away from the center. High spending may signal policy extremity to the median voter, but candidates sympathetic to special interests either spend enough to overcome the bad signal or conceal their intentions by not raising money at all. Consequently, when extremists can raise money most easily, there is a tradeoff between information disclosure and policy representativeness: the chance of electing a centrist is highest when candidates' spending decisions do not reveal their policy intentions. A key policy implication of the model is that campaign finance reforms that raise the opportunity cost of fundraising, such as individual contribution caps, never reduce (and sometimes increase) the chance of electing a centrist, even when the fundraising advantage is associated with centrism rather than extremism.

DOI:10.1561/100.00018001

Online Appendix | 100.00018001_app.pdf

This is the article's accompanying appendix.

DOI: 10.1561/100.00018001_app

Replication Data | 100.00018001_supp.zip (ZIP).

This file contains the data that is required to replicate the data on your own system.

DOI: 10.1561/100.00018001_supp